Matthew Schwartz

Views expressed here are my own. RTs & links do not constitute endorsement.

[ClaudeDevs @ClaudeDevs]

https://t.co/v694m8Eaj6

[Movez @0xMovez]

Anthropic engineer:

"Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5.

We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt."

in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable.

Watch it now, then read how to use this frontier model in the article below.

[Matthew Schwartz @schwartz1375]

Open-source AI threat intelligence resources & tooling — featuring emerging adversarial techniques, analysis, and actionable defensive guidance. 🔗 https://t.co/Yz9B8VewgM #NVIDIAGTC #OLLAMA

[Matthew Schwartz @schwartz1375]

@elonmuskTN 13

[Alex Veremeyenko @alex_verem]

🔥 Holy shit... Apple just did something nobody saw coming

They just dropped Pico-Banana-400K a 400,000-image dataset for text-guided image editing that might redefine multimodal training itself.

Here’s the wild part:

Unlike most “open” datasets that rely on synthetic generations, this one is built entirely from real photos. Apple used their internal Nano-Banana model to generate edits, then ran everything through Gemini 2.5 Pro as an automated visual judge for quality assurance. Every image got scored on instruction compliance, realism, and preservation and only the top-tier results made it in.

It’s not just a static dataset either.

It includes:

• 72K multi-turn sequences for complex editing chains
• 56K preference pairs (success vs fail) for alignment and reward modeling
• Dual instructions both long, training-style prompts and short, human-style edits

You can literally train models to add a new object, change lighting to golden hour, Pixar-ify a face, or swap entire backgrounds and they’ll learn from real-world examples, not synthetic noise.

The kicker? It’s completely open-source under Apple’s research license.
They just gave every lab the data foundation to build next-gen editing AIs.

Everyone’s been talking about reasoning models…
but Apple just quietly dropped the ImageNet of visual editing.

👉 github. com/apple/pico-banana-400k

[Amazon Web Services @awscloud]

Generative AI is changing how we work. But what’s protecting what we build? 🛠️💻🤖

Check out our new whitepaper: "Navigating the Security Landscape of Generative AI" featuring insights from #AWS experts & including our security partners.

👉 https://t.co/Q1MEuKwR1T

[AWS Security @AWSSecurityInfo]

Excited to share our latest whitepaper: 'Navigating the GenAI Security Frontier'! Co-authored by Matt Schwartz & Mac Stevens, featuring insights from P.Vixie, H.Rossman, C. Betz, J.Kropf, M.Saner & P.Simpson. Launched with our security partners.
https://t.co/iIXb08fPv4

[Matthew Schwartz @schwartz1375]

AI that thinks wins! Only Grok 3 Beta with Think correctly answered a polar navigation challenge Read more: https://t.co/AuwRLaBFHu via @LinkedIn #AI #ThinkingAI #Tech

[Matthew Schwartz @schwartz1375]

Check out my latest article: AI Model Security: Understanding Risks vs. Unfounded Concerns https://t.co/AY3mMyhOEM via @LinkedIn

[OpenAI Newsroom @OpenAINewsroom]

We are proud to announce that OpenAI has signed an agreement with the U.S. National Laboratories to supercharge their scientific research using our latest reasoning models.

Sharing our technology with the nation’s top scientists aligns with our mission of building artificial general intelligence to benefit humanity, and we believe the U.S. government is a critical partner to achieve this goal.

The National Labs host approximately 15,000 scientists working across a wide range of disciplines to advance our understanding of nature and the universe.

Here are some key ways our most advanced models will be utilized:

- Accelerating the basic science that underpins U.S. global technological leadership

- Identifying new approaches to treating and preventing disease

- Enhancing cybersecurity and protecting the American power grid

- Achieving a new era of U.S. energy leadership by unlocking the full potential of natural resources and revolutionizing the nation’s energy infrastructure

- Improving U.S. security through improved detection of natural and man-made threats, such as biology and cyber, before they emerge

- Deepening our understanding of the forces that govern the universe, from fundamental mathematics to high-energy physics

[Camlis Org @CamlisOrg]

🌞 Lunch on the rooftop? Yes, please! Attendees are enjoying this beautiful day networking at #CAMLIS2024 before diving back into the next session.

[Camlis Org @CamlisOrg]

Our day 2 keynote is about to start: "You’ll Never Guess What Happens Next: Acting to Ensure AI Benefits Cyber Defense in a Decade of Technological Surprise" from Joshua Saxe!

[Camlis Org @CamlisOrg]

Session 3 wraps up with "Hamm-Grams: Mining Common Regular Expressions via Locality Sensitive Hashing" from speaker Derek Everett! Reminder that our livestream can be found here: https://t.co/MrHLAlk50A

[Nick Frichette @Frichette_n]

AWS has announced their new Vulnerability Disclosure Program (VDP)!! Yaaaay!!! As a vocal critic of how AWS has traditionally been behind their competitors on this, I wanted to write a thread and talk about it. Firstly, it's important to know, this is NOT a bug bounty. 🧵

[Mark Ermolov @_markel___]

Intel HW is too complex to be absolutely secure! After years of research we finally extracted Intel SGX Fuse Key0, AKA Root Provisioning Key. Together with FK1 or Root Sealing Key (also compromised), it represents Root of Trust for SGX. Here's the key from a genuine Intel CPU😀

[Proton @ProtonPrivacy]

If you find this concerning, check out our list of big tech search alternatives: https://t.co/f08LYiSual

[sagitz @sagitz_]

We uploaded a backdoored AI model to @HuggingFace which we could use to potentially access other customers’ data✨

Here is how we did it - and collaborated with Hugging Face to fix it 🧵⬇️

[Rowan Cheung @rowancheung]

We just had one of the biggest days in AI.

Huge developments from Sam Altman/GPT-5, NVIDIA, OpenAI, Cohere, Andrej Karpathy, Nous, and ElevenLabs.

Here's EVERYTHING you need to know:

[Shruti @heyshrutimishra]

MIT University just released free online courses.

No payment required.

Here are 10 courses you don't want to miss in 2024: